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Mindgard logo
Mindgard
✓ verifiedPaid

Automated AI red-teaming platform that discovers, tests, and defends AI models and agents against security threats.

32K visits/mo
Aura logo
Aura
✓ verifiedPaid

All-in-one digital-safety subscription protecting families from identity theft, fraud and online threats, with parental controls.

2.5M visits/mo762 saves
Vectra logo
Vectra
✓ verifiedPaid

AI-driven network detection and response platform that identifies and stops identity-based and lateral-movement cyberattacks in real time.

203K visits/mo1.0K saves
Adversa AI logo
Adversa AI
✓ verifiedPaid

AI red-teaming and security platform for LLMs, agents and GenAI apps, offering continuous testing and remediation.

35K visits/mo
Gamma AI logo
Gamma AI
✓ verifiedPaid

Cloud DLP and CASB that classifies and protects sensitive data across SaaS apps using deep learning (now Palo Alto Networks).

168K visits/mo
Pricing

No public pricing

Kids: $10/mo billed annually
Individual: $12/mo billed annually (1 adult)
Couple: $22/mo billed annually (2 adults)
Family: $32/mo billed annually (5 adults)

Free trial available

No public pricing

No public pricing

No public pricing

Core features
  • Automated AI red teaming
  • AI discovery and attack-surface mapping
  • Agent-native reconnaissance
  • Exploitable-risk detection and reporting
  • Runtime AI protection and response
  • CI/CD, Burp Suite, and API integrations
  • Identity theft protection with insurance
  • 3-bureau credit monitoring and lock
  • Antivirus, VPN and password manager
  • Online data removal from brokers
  • Parental controls and safe-gaming alerts
  • Dark-web and financial-fraud alerts
  • Real-time AI-driven threat detection beyond traditional EDR
  • Detection of identity-based attacks and lateral movement
  • 360 Response for enforced containment across identity, devices, and network
  • Exposure management and security posture improvement tools
  • Managed detection and response (MXDR/MDR) services
  • Integrations across existing security tool ecosystems
  • Attack Labs research sharing threat intelligence and techniques
  • AI threat modeling for your stack
  • Continuous autonomous red-teaming
  • Auto-generated patches and remediation reports
  • Coverage for agents, MCP, LLMs and GenAI apps
  • Managed service or self-serve platform
  • Deep-learning data classification (99.5% claimed accuracy)
  • Cloud DLP across SaaS applications
  • One-click deployment across apps, devices and users
  • End-user self-remediation of violations
  • Broad SaaS integrations
  • Insider-threat and breach monitoring
Use cases
  • Testing AI systems against evolving attacks
  • Finding vulnerabilities in models and agents
  • Securing agentic workflows in production
  • AI governance and compliance reporting
  • Protecting against identity theft
  • Monitoring family credit and finances
  • Keeping kids safe online
  • Removing personal data from broker sites
  • Security operations teams needing detection beyond EDR/SIEM gaps
  • Enterprises defending against identity-based and hybrid cloud attacks
  • Organizations needing managed threat detection and response services
  • Finance, healthcare, and public sector teams meeting compliance-driven security needs
  • Red-team custom AI agents and copilots
  • Detect prompt injection and agent hijacking
  • Harden GenAI apps before shipping
  • Continuously assess AI security posture
  • Prevent data leaks across SaaS apps
  • Classify and monitor sensitive data
  • Reduce breaches from human error
  • Give security teams cloud data visibility
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